The os.replace function in Python’s os module is used to rename or move a file or directory. If the destination exists, it will be replaced. This function is similar to os.rename, but it ensures that the operation is atomic.
The os.rename function in Python’s os module is used to rename a file or directory. This function can also be used to move a file or directory to a different location if the destination is on the same filesystem.
The os.removedirs function in Python’s os module removes a directory and its intermediate directories. This function is useful for cleaning up directory structures by deleting the specified directory and any empty parent directories.
The os.rmdir function in Python’s os module removes (deletes) an empty directory. This function is useful for cleaning up empty directories from the filesystem.
The os.remove function in Python’s os module is used to delete a file. This function is useful for removing files from the filesystem.
The os.makedirs function in Python’s os module creates a directory recursively. This means that all intermediate-level directories needed to contain the leaf directory will also be created. This function is useful for ensuring that the entire directory path exists.
The os.mkdir function in Python’s os module creates a new directory with the specified path. This function is useful for creating new directories within the filesystem.
The os.listdir function in Python’s os module returns a list of all entries (files and directories) in a specified directory. This function is useful for accessing and managing the contents of directories.
NumPy is a powerful library in Python that provides a wide range of functions to perform mathematical and logical operations on arrays. It is especially useful for scientific computing. This page introduces various NumPy functions categorized into different groups, such as trigonometric, hyperbolic, rounding, sums/products/differences, exponents/logarithms, arithmetic operations, rational routines, handling complex numbers, extrema finding, …
The calendar module in Python provides various functions to work with dates and calendars. These functions are useful for generating calendars, checking leap years, and other date-related tasks. Below is a list of some commonly used functions in the calendar module, along with their descriptions and links to detailed guides for each function. Python calendar …
The datetime module in Python provides various functions to work with dates and times. These functions are useful for creating, manipulating, and formatting date and time objects. Below is a list of some commonly used functions in the datetime module, along with their descriptions and links to detailed guides for each function. Python datetime Module …
The time module in Python provides various functions to work with time-related tasks. These functions are useful for measuring time, pausing execution, and formatting dates and times. Below is a list of some commonly used functions in the time module, along with their descriptions and links to detailed guides for each function. Python time Module …
The random module in Python provides various functions to generate random numbers and perform random operations. These functions are useful for tasks such as simulations, games, and testing. Below is a list of some commonly used functions in the random module, along with their descriptions and links to detailed guides for each function. Python random …
Python provides a variety of mathematical functions through the math module. These functions make it easy to perform common mathematical operations. Below is a list of some commonly used math functions, along with their descriptions and links to detailed guides for each function. Python Math Functions Table Function Description acosh() Returns the inverse hyperbolic cosine …
Python provides a variety of methods to manipulate and operate on arrays. These methods make it easy to perform common tasks such as adding, removing, and accessing elements in an array. Below is a list of some commonly used array methods, along with their descriptions and links to detailed guides for each method. Python Array …
Python provides several methods to manipulate and operate on files. These methods make it easy to perform common tasks such as reading, writing, and managing file positions. Below is a list of some commonly used file methods, along with their descriptions and links to detailed guides for each method. Python File Methods Table Method Description …
Python tuples provide a couple of methods to operate on and extract information from the tuple elements. Below is a list of the commonly used tuple methods, along with their descriptions and links to detailed guides for each method. Python Tuple Methods Table Method Description count() Returns the number of times a specified value appears …
Python dictionaries provide a variety of methods to manipulate and operate on key-value pairs. These methods make it easy to perform common tasks such as adding, removing, and accessing elements in a dictionary. Below is a list of some commonly used dictionary methods, along with their descriptions and links to detailed guides for each method. …
Python provides a variety of methods to manipulate and operate on sets. These methods make it easy to perform common tasks such as adding, removing, and combining elements in a set. Below is a list of some commonly used set methods, along with their descriptions and links to detailed guides for each method. Python Set …
Python provides a variety of methods to manipulate and operate on lists. These methods make it easy to perform common tasks such as adding, removing, and organizing elements in a list. Below is a list of some commonly used list methods, along with their descriptions and links to detailed guides for each method. Python List …
Python provides a comprehensive set of built-in functions that can be used to perform various tasks. These functions are always available and do not require any imports to use them. Below is a list of some commonly used built-in functions, along with their descriptions and links to detailed guides for each function. Python Built-in Functions …
Python provides a set of built-in methods to manipulate and operate on strings. These methods make it easy to perform common tasks such as searching, splitting, and formatting strings. Below is a list of some commonly used string methods, along with their descriptions and links to detailed guides for each method. Python String Methods Table …
The interp function in Python’s NumPy library is used to perform one-dimensional linear interpolation.
The real_if_close function in Python’s NumPy library is used to convert complex numbers to real numbers if the imaginary part is very close to zero. This function is particularly useful in numerical computations where small imaginary parts may arise due to floating-point precision issues, and you want to treat the results as real numbers.
The nan_to_num function in Python’s NumPy library is used to replace NaN (Not a Number) values with zero and infinity values with large finite numbers (defaulting to the maximum representable floating point values). This function is essential in various fields such as data analysis, scientific computing, and machine learning where handling NaN and infinite values …